Explore the vast range of titles available.

Intentional and unintentional firearm injury is the second leading cause of death for youth, underscoring the need for effective primary prevention approaches that focus on increasing safe storage by caregivers and decreasing handling/carriage among youth. This article describes the state of the science for prevention of firearm injuries among children and adolescents. We applied PRISMA guidelines to present results from a scoping review using PubMed, Scopus, CINAHL, and CJ Abstracts for original research articles published between January 1, 1985 and March 1, 2018 in the U.S. focusing on primary screening or interventions for primary prevention of pediatric firearm injuries. In total, 46 articles met inclusion criteria: safe storage (23), screening (2), firearm handling/carriage/use (21). Across school, healthcare, and community settings, few evidenced-based programs exist, and data on firearm safety technologies are lacking. Programs have generally not employed rigorous designs, and/or assessed behavioral (e.g., carriage) or injury-related firearm outcomes. Evidenced-based prevention programs are needed to mitigate firearm morbidity and mortality among youth.

This paper demonstrates an effective method of performing network reconfiguration (NR) and distributed generation placement (DGP) simultaneously called NR-DGP for the multi-goal function of reducing power loss and voltage deviation as well as enhancing load balance and feeder balance with the least number of changing switches. These membership goals are combined by the fuzzy decision-making relied on the max-min technique. The results for the NR and NR-DGP on two test system including of 33 and 84 nodes are gained by the improved moth swarm algorithm (IMSA). Wherein, IMSA is developed based on the original moth swarm algorithm (MSA) with improvement of the exploration mechanism using Lévy distribution. The calculated results show that NR-DGP method has gained the better improvement of the test systems’ technical indicators than the NR only. The obtained results also show that IMSA has better performance for the NR and NR-DGP problems than the MSA in term the quality of the obtained optimal solution. Thus, IMSA can be an effective approach for determining the optimal solution of the NR and NR-DGP problems.

The onset of the COVID-19 pandemic necessitated the rapid transition of many types of substance use disorder (SUD) treatments to telehealth formats, despite limited information about what makes treatment effective in this novel format. This study aims to examine the feasibility and effectiveness of virtual intensive outpatient programming (IOP) treatment for SUD in the context of a global pandemic, while considering the unique challenges posed to data collection during an unprecedented public health crisis. The study is based on a longitudinal study with a baseline sample of 3642 patients who enrolled in intensive outpatient addiction treatment (in-person, hybrid, or virtual care) from January 2020 to March 2021 at a large substance use treatment center in the United States. The analytical sample consisted of patients who completed the 3-month postdischarge outcome survey as part of routine outcome monitoring (n=1060, 29.1% response rate). No significant differences were detected by delivery format in continuous abstinence (χ =0.4, P=.81), overall quality of life (F =2.06, P=.13), financial well-being (F =2.30, P=.10), psychological well-being (F =0.72, P=.49), and confidence in one's ability to stay sober (F =0.21, P=.81). Individuals in hybrid programming were more likely to report a higher level of general health than those in virtual IOP (F =4.19, P=.01). Virtual outpatient care for the treatment of SUD is a feasible alternative to in-person-only programming, leading to similar self-reported outcomes at 3 months postdischarge. Given the many obstacles presented throughout data collection during a pandemic, further research is needed to better understand under what conditions telehealth is an acceptable alternative to in-person care.

Network reconfiguration (NR) is one of the most effective methods to reduce line power loss in the distribution system, which causes higher losses than the other parts of the power system. This paper proposes a modified symbiotic organisms search (MSOS) algorithm to solve the NR problem. For the purpose of enhancing the effectiveness of MSOS, the mutualism and parasitism strategies of the original symbiotic organisms search (SOS) have been modified to create better new solutions. In the mutualism strategy, the so-far best solution is updated immediately as soon as new solutions are created. In the parasitism strategy, the update is only implemented for the first half of control variables, whereas another half still remains unchanged. The comparison results between MSOS and SOS on twenty-five benchmark functions and different scales of test distribution systems with 14, 33, 69, and 119 nodes show that the improvement level of MSOS over SOS is significant with higher success rates and better quality of gained solutions. Similarly, MSOS also reaches better results than other methods in the literature. Consequently, MSOS can be a favorable method for determining the most appropriate configurations for the distribution systems.

The research on extraction and refining of oil was conducted on the calamondin peels purchased in Thu Duc Market. Them originated from the province of Tien Giang in Viet Nam. The purpose of research evaluation of the quality of refined oil by refining methods such as deposition/filtration, crystallization - suctioning of oil, using Na 2 SO 4 – filtering of oil, Na 2 SO 4 - suctioning of oil, second extraction and combination all the above methods. The results showed that the initial moisture content of the material was 77.37%, and dry matter content was 8.46%. Extraction at optimum conditions is 60 minutes, 1/8 of raw material / solvent ratio (w / v), with fresh ingredients and raw material size is small at 1 ÷ 3.5 mm the highest oil content was obtained. The essential oil obtained contain a high content of Limonene (over 85%), which has been shown to be able to inhibit breast cancer, colorectal cancer, control heartburn and gastric reflux, and support the treatment of gallstones containing cholesterol.

Calcination temperature is a crucial parameter that can be easily controlled to induce a change in material properties. Herein, iron tungstate (FeWO4) was synthesized via a hydrothermal method using iron(II) sulfate heptahydrate and sodium tungstate dihydrate as precursors and calcined at the temperature between 300 oC and 700 oC. With increasing calcination temperature, the saturation magnetization of FeWO4 nanoparticles decreased from 6.6 emu/g for FeWO4 to 0.4 emu/g for FeWO4_700, whereas their band gaps increased from 1.95 eV for FeWO4 to 2.20 eV for FeWO4_700. More crystallinity and crystal defects, and morphological changes at higher calcination temperatures contributed to varying magneto-optical properties of FeWO4 nanoparticles.

ABSTRACT BACKGROUND Asian Americans represent a mix of cultures and immigration experiences, which may put them differentially at risk for mental health problems. Yet, little is known about the mental health needs of older adults from various Asian subgroups compared to non-Hispanic whites. OBJECTIVES To compare the prevalence rates of mental distress of Chinese, Filipino, South Asian, Japanese, Korean, and Vietnamese older adults (aged 55 and older) to that of non-Hispanic whites; and to examine subgroup differences in utilization of mental health services. METHODS A cross-sectional analysis of a population-based sample of California adults responding to the 2007 California Health Interview Survey. Multivariable logistic regression analysis was used to examine subgroup differences in mental health status and use of mental health services among the six different Asian subgroups and non-Hispanic whites, adjusting for respondents’ demographic and health characteristics, socioeconomic status, and English-language proficiency. RESULTS A total of 20,712 respondents were included. Filipino [aOR=2.25; 95% CI=1.14-4.47] and Korean Americans [aOR=2.10; 95% CI=1.06-4.17] were more likely to report symptoms indicative of mental distress compared to non-Hispanic whites, yet were less likely to have seen a primary care provider [Filipino: aOR=0.41; 95% CI=0.18-0.90; Korean: aOR=0.24; 95% CI = 0.08-0.69] or have taken a prescription medication [Filipino: aOR=0.20; 95% CI=0.10-0.40; Korean: aOR=0.15; 95% CI=0.05-0.40], even after adjusting for indicators of respondents’ demographic and health characteristics, socioeconomic status, and English-language proficiency. In contrast, Japanese Americans were less likely to report symptoms indicative of mental distress [aOR=0.43; 95% CI=0.21-0.90], and were less likely to make use of mental health services compared to non-Hispanic whites. DISCUSSION/CONCLUSIONS The findings from this study not only highlight the unmet mental health needs among older Asian Americans, but also illustrate significant variations among the various Asian subgroups. Clinicians who work closely with these patients should regularly screen and assess older Asian adults for symptoms related to their mental health needs.

The use of virtual treatment services increased dramatically during the COVID-19 pandemic. Unfortunately, large-scale research on virtual treatment for substance use disorder (SUD), including factors that may influence outcomes, has not advanced with the rapidly changing landscape. This study aims to evaluate the link between clinician-level factors and patient outcomes in populations receiving virtual and in-person intensive outpatient services. Data came from patients (n=1410) treated in a virtual intensive outpatient program (VIOP) and an in-person intensive outpatient program (IOP), who were discharged between January 2020 and March 2021 from a national treatment organization. Patient data were nested by treatment providers (n=58) examining associations with no-shows and discharge with staff approval. Empathy, comfort with technology, perceived stress, resistance to change, and demographic covariates were examined at the clinician level. The VIOP (β=-5.71; P=.03) and the personal distress subscale measure (β=-6.31; P=.003) were negatively associated with the percentage of no-shows. The VIOP was positively associated with discharges with staff approval (odds ratio [OR] 2.38, 95% CI 1.50-3.76). Clinician scores on perspective taking (β=-9.22; P=.02), personal distress (β=-9.44; P=.02), and male clinician gender (β=-6.43; P=.04) were negatively associated with in-person no-shows. Patient load was positively associated with discharge with staff approval (OR 1.04, 95% CI 1.02-1.06). Overall, patients in the VIOP had fewer no-shows and a higher rate of successful discharge. Few clinician-level characteristics were significantly associated with patient outcomes. Further research is necessary to understand the relationships among factors such as clinician gender, patient load, personal distress, and patient retention.

This paper introduces an effective intelligent controller for robotic systems with uncertainties. The proposed method is a novel self-organizing fuzzy cerebellar model articulation controller (NSOFC) which is a combination of a cerebellar model articulation controller (CMAC) and sliding mode control (SMC). We also present a new Gaussian membership function (GMF) that is designed by the combination of the prior and current GMF for each layer of CMAC. In addition, the relevant data of the prior GMF is used to check tracking errors more accurately. The inputs of the proposed controller can be mixed simultaneously between the prior and current states according to the corresponding errors. Moreover, the controller uses a self-organizing approach which can increase or decrease the number of layers, therefore the structures of NSOFC can be adjusted automatically. The proposed method consists of a NSOFC controller and a compensation controller. The NSOFC controller is used to estimate the ideal controller, and the compensation controller is used to eliminate the approximated error. The online parameters tuning law of NSOFC is designed based on Lyapunov’s theory to ensure stability of the system. Finally, the experimental results of a 2 DOF robot arm are used to demonstrate the efficiency of the proposed controller.